Robert Rae
Papers
1
Total Citations
23
H-Index
1
About
Robert Rae is a pioneering researcher in cognitive robotics and human-robot interaction, best known for his work on intuitive robot teaching through gestural instruction. His landmark 2002 paper, "Guiding attention for grasping tasks by gestural instruction: the GRAVIS-robot architecture," introduced a novel framework that enables robots to share a common focus of attention with human users, allowing them to learn grasping tasks through natural demonstration rather than explicit programming. This foundational contribution, which has accumulated 23 citations, established key principles for how robots can interpret human gestures to guide their own attention and action planning. Rae's research bridges computer vision, artificial intelligence, and cognitive science, addressing the fundamental challenge of making robot instruction efficient and accessible for non-expert users. His work on the GRAVIS architecture has influenced subsequent developments in interactive robot learning and continues to shape how researchers approach the problem of establishing shared attention between humans and machines in collaborative settings.
Research Focus
Key Achievements
Top Papers
- 1